R Markdown - Assignment 3 in SDS 6103

---

Illustration of R Markdown Capabilities

Exploring the Use of R Markdown for Presentations, Notebooks, and Interactive Graphics

This document explores how R Markdown can be used to create presentations, notebooks, and interactive graphics, along with examples for each.

---

R Markdown for Presentations

R Markdown supports creating various types of presentations:

1. HTML Presentations:
   • ioslides: Simple and clean HTML-based slides.
   • Reveal.js: Rich with themes, transitions, and interactivity.
   • xaringan: Highly customizable, built on remark.js.
2. PDF Presentations:
   • Beamer: LaTeX-based, suitable for academic and professional presentations.
3. Microsoft PowerPoint:
   • Directly generate .pptx files from R Markdown.

Creating an HTML Presentation with ioslides

Example YAML header for ioslides:

---
title: "Data Analytics Overview"
author: "John Andrew"
output: ioslides_presentation
---

This will create a basic HTML slide deck with ioslides.

---

Creating a PDF Presentation with Beamer

Example YAML header for Beamer:

---
title: "Statistical Analysis"
author: "John Andrew"
output: beamer_presentation
---

This setup will generate a Beamer PDF presentation with numbered sections.

---

Creating a PowerPoint Presentation

Example YAML header for PowerPoint:

---
title: "Business Intelligence"
author: "John Andrew"
output: powerpoint_presentation
---

This setup outputs directly to a .pptx file.

---

Interactive Graphics with Shiny and HTML Widgets

R Markdown can produce interactive graphics using: - Shiny: R’s web framework for dynamic, reactive content. - HTML Widgets: A collection of R packages for embedding interactive JavaScript widgets like plotly and leaflet.

Interactive Plot Example (HTML Only)

To ensure compatibility with both HTML and PDF, the code is in HTML output.

library(plotly)

## Loading required package: ggplot2

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
## 
##     last_plot

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
## 
##     layout

plot_ly(data = mtcars, x = ~mpg, y = ~hp, type = 'scatter', mode = 'markers')

If i render as HTML, this chunk will display an interactive Plotly scatter plot.

---

Interactive Map with Leaflet (HTML Only)

library(leaflet)
leaflet() %>%
  addTiles() %>%
  addMarkers(lng = -122.4194, lat = 37.7749, popup = "San Francisco")

---

R Notebooks in R Markdown

An R Notebook is an extension of R Markdown that supports inline execution and interactive analysis.

Inline Plotting in R Notebook

plot(mtcars$mpg, mtcars$hp, 
     main = "Miles per Gallon vs Horsepower",
     xlab = "Miles per Gallon", 
     ylab = "Horsepower")

Using HTML Widgets in R Notebook (HTML Only)

library(DT)
datatable(mtcars)

---

Caching in R Notebooks

R Notebooks support caching, which saves results of computationally expensive code chunks.

Sys.sleep(5)  # Simulate a long computation
sum(rnorm(1e6))

## [1] -923.619

---

Parameterized Reports in R Notebooks

Example YAML for parameterized reports:

---
title: "Parameterized Report"
output: html_notebook
params:
  sample_size: 20
  region: "West"
---

This feature allows flexible, dynamic reports based on parameter values.

---

Using Other Language Engines in R Markdown

R Markdown supports different programming languages.

Python Example (Illustrative Only)

# Python calculation example
x = 10
y = 5
result = x * y
result

SQL Example (Illustrative Only)

-- SQL query example
SELECT * FROM mtcars WHERE mpg > 20

Bash Example (Illustrative Only)

# Bash command example
ls -l

---